Title :
Photoelectrothermal model predictive control for Light Emitting Diodes
Author :
Baccari, S. ; Tipaldi, Massimo ; Iannelli, Luigi ; Vasca, F.
Author_Institution :
Dept. of Eng., Univ. of Sannio, Benevento, Italy
Abstract :
Light Emitting Diodes (LEDs) are one of the most promising technology for the future of lighting. The flexibility required by the dimming regulation introduces different and sometimes conflicting objectives which make challenging the control design. In this paper, a photoelectrothermal model of LED integrated with the dynamics of the power converter is presented. The model is used to design a model predictive control which allows the regulation of current, temperatures and luminous flux by satisfying the typical constraints on the control variable and on thermal and electrical state variables. The effectiveness of the proposed controller is verified though simulations by using a LED model whose parameters are tuned from commercial datasheets.
Keywords :
light emitting diodes; lighting control; power convertors; predictive control; LED model; current regulation; dimming regulation; electrical state variable; light emitting diodes; luminous flux; photoelectrothermal model predictive control; power converter; temperature regulation; thermal state variable; Heat sinks; Junctions; Light emitting diodes; Mathematical model; Positron emission tomography; Predictive models; Resistance heating;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426679